(b) By using pre-collected text-only data \(\mathcal {G}\)  generated from existing text-recognition methods [1]}, [2]}, [3]}, [4]}. Doing so develops a semantic sense of associative relation between candidate correct words and erroneous alternatives. Keeping \(F_{\mathcal {P}}\)  fixed, rest of the feedback module (parameters denoted by \(\mathbf {\theta _{F^{\prime }}}\) ) is optimised solely using auxiliary decoder reconstruction loss and KL divergence loss as:
